Convergence curves of different algorithms on the benchmark functions. حسب Aihua Guo (13267712)

The algorithm for the same-day surgery protocol. حسب Magnus Tveit (11442200)

Results of searching performance of different algorithm models on the Sphere function and Griewank function. حسب Rui Zhang (13940)

"…<p>Results of searching performance of different algorithm models on the Sphere function and Griewank function.…"

Results of searching performance of the improved NAG algorithm on Sphere function and Griewank function. حسب Rui Zhang (13940)

Probability density of the cumulative number <i>C</i> of infections for different system sizes <i>N</i> at their critical vaccination doses with the random vaccination strategy as... حسب Yannick Feld (16520678)

الموضوعات:

Cleavage time as a function of scaled fiber diameter. حسب Roukayatou R. Ouedraogo (20460980)

Rate functions Φ(<i>C</i>) for the random vaccination heuristics for different system sizes <i>N</i> at their respective critical vaccination. حسب Yannick Feld (16520678)

الموضوعات:

Multimodal reference functions. حسب Ruiyu Zhan (21602031)

"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

Affiliation function of unwinding tension deviation bias <i>e</i>. حسب Yanjun Xiao (1993411)

Affiliation function of polar slice correction bias <i>e</i>. حسب Yanjun Xiao (1993411)

Test functions. حسب Kejia Liu (5699651)

الموضوعات:

The convergence curves of the test functions. حسب Ruiyu Zhan (21602031)

"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

Single-peaked reference functions. حسب Ruiyu Zhan (21602031)

"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

AP improvement rates for various targets on the RSOD dataset. حسب Pingping Yan (462509)

الموضوعات:

Probability density functions of the cumulative fraction <i>C</i> of infections for <i>N</i> = 3200 for the different vaccination strategies. حسب Yannick Feld (16520678)

الموضوعات:

AP improvement rates for various targets on the NWPU VHR-10 dataset. حسب Pingping Yan (462509)

الموضوعات:

Probability density functions of the cumulative fraction <i>C</i> of infected nodes for <i>N</i> = 3200 for the different vaccination strategies. حسب Yannick Feld (16520678)

الموضوعات:

Test results of multimodal benchmark functions. حسب Ruiyu Zhan (21602031)

"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

Fixed-dimensional multimodal reference functions. حسب Ruiyu Zhan (21602031)

"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

Test results of multimodal benchmark functions. حسب Ruiyu Zhan (21602031)

"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"